Dual-Masked AI Learns to Find Hidden Mineral Deposits With Almost No Labels
A new dual-masked graph autoencoder called DM-GAE maps mineral prospectivity in Tibet with high accuracy despite scarce labeled deposits, outperforming ...
Tag: geochemical anomalies
Self-Training AI Finds Hidden Mineral Deposits in Sparse Geochemical Data
A self-training LightGBM framework developed at Jilin University recognizes mineralization-related geochemical anomalies in Inner Mongolia using sparse labeled and vast ...
AI Meets Geology: New Machine Learning Model Pinpoints Hidden Gold in Southern China
A knowledge–data dual-driven machine learning framework combining deep forest algorithms with orogenic gold mineral system knowledge has improved mineral prospectivity ...
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Mothers who receive childcare support from maternal grandparents show more parental warmth, finds NTU Singapore study
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University of Seville Breaks 120-Year-Old Mystery, Revises a Key Einstein Concept
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Bee body mass, pathogens and local climate influence heat tolerance
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Researchers record first-ever images and data of a shark experiencing a boat strike
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Groundbreaking Clinical Trial Reveals Lubiprostone Enhances Kidney Function
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